Bioinformatics Biostatistics and Computing

The CCR Collaborative Bioinformatics Resource (CCBR) is a centrally-funded resource group which provides a mechanism for CCR researchers to obtain many different types of bioinformatics assistance to further their research goals. The group has expertise in a broad range of bioinformatics topics, and as such, its goal is to provide a simplified central access point for CCR researchers. Requests for any type of Bioinformatics support should be through the CCBR Project Submission Form. Types of Collaborative Expertise: Next Generation Sequence (NGS) data analysis (RNAseq, scRNAseq, ATAC-seq,… [learn more]

Radiation Oncology Branch is part of CCR. Bioinformatics core is a collaborative resource to support ROB branch and provide service to ROB investigators from NCI and other Institutes access to new technologies, bioinformatics, statistical analysis related to genetics/genomics, and offers access to in-house built software tools. Bioinformatics analysis: work with research scientists to provide consulting prior to experiments, analysis of high-throughput sequencing, gene expression, metabolomics, proteomics, and other biological data to identify: prognostic biomarkers, transcriptio… [learn more]

Established Technologies: The Miner Suite of Bioinformatic Applications, These applications are freely available for public use. Our characterization and analysis of the NCI-60 cancer cell lines, the DNA, RNA, protein, epigenetic and pharmacological levels is accessible through CellMiner, with the expended version including additional cell line sets available through CellMinerCDB., , CellMinerCDB, url:  https://discover.nci.nih.gov/rsconnect/cellminercdb/, CellMiner Cross Database (CDB) is the first web application to allow translational researchers to conduct analyses across all major… [learn more]

The centrally funded Statistics team within the Advanced Biomedical Computational Science group at the Frederick National Lab provides statistical consultation and data analysis support for NCI laboratories. We have broad-range expertise in biomedically relevant areas of applied and computational statistics, as well as related subjects. The team can help with both advanced and standard statistical analyses. These include data-sample comparisons (such as pairwise comparisons and ANOVA), linear or nonlinear regression, linear or nonlinear mixed-effects modeling, survival analysis, power and … [learn more]